Detalhes bibliográficos
| Ano de defesa: |
2016 |
| Autor(a) principal: |
Sampaio, Luisa Ver??ssimo Pereira
 |
| Orientador(a): |
Carvalho, Gustavo de Azevedo
|
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Cat??lica de Bras??lia
|
| Programa de Pós-Graduação: |
Programa Strictu Sensu em Gerontologia
|
| Departamento: |
Escola de Sa??de e Medicina
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Área do conhecimento CNPq: |
|
| Resumo em Inglês: |
Technological development in the area of health has allowed the improvement of practices such as electronic patient records, access to various data, monitoring of biological signs, imaging, training and planning procedures as well as diagnostic support tools. In this context, the use of mobile devices such as the smartphone is an area with great potential due to ease of handling and its computational capacity. This work deals with the development and testing of an application for mobile devices capable of capturing the oscillations of the human body at a static position through accelerometer embedded in a smartphone for use by health professionals as a tool for balance and fall risk assessment of the elderly. The bibliographic review proposed in this paper confirms the competence of these instruments in the functional postural evaluation of the elderly, balance and gait analysis. Based on the results of the present study, the developed application was able to perform an assessment of the body balance and classify the results into two groups of low and high fall risk. |
| Link de acesso: |
https://bdtd.ucb.br:8443/jspui/handle/tede/2181
|
Resumo: |
Technological development in the area of health has allowed the improvement of practices such as electronic patient records, access to various data, monitoring of biological signs, imaging, training and planning procedures as well as diagnostic support tools. In this context, the use of mobile devices such as the smartphone is an area with great potential due to ease of handling and its computational capacity. This work deals with the development and testing of an application for mobile devices capable of capturing the oscillations of the human body at a static position through accelerometer embedded in a smartphone for use by health professionals as a tool for balance and fall risk assessment of the elderly. The bibliographic review proposed in this paper confirms the competence of these instruments in the functional postural evaluation of the elderly, balance and gait analysis. Based on the results of the present study, the developed application was able to perform an assessment of the body balance and classify the results into two groups of low and high fall risk. |
